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cs.CV2026
When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs
Tanay Sodha, Aditya Sharma, Ramya Hebbalaguppe +2
Reliable confidence estimation remains a key limitation of test-time adaptation in vision-language models (VLMs), where prompt tuning improves zero-shot accuracy but often degrades…
cs.CV2025
Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration
Ramya Hebbalaguppe, Tamoghno Kandar, Abhinav Nagpal +1
Vision-language models (VLM) have demonstrated impressive performance in image recognition by leveraging self-supervised training on large datasets. Their performance can be furthe…